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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2022-03-27 16:05 |
Hokkaido |
RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Range-Equivariant Convolution for Spherical Projection-based Segmentation of LiDAR Point Clouds Hidetaka Marumo, Takashi Matsubara (Osaka Univ) CCS2021-49 |
In autonomous driving, LiDAR point clouds segmentation has attracted much attention. For efficiency and ease of design, ... [more] |
CCS2021-49 pp.78-83 |
RCS |
2018-04-23 11:20 |
Yamaguchi |
Hotel New Tanaka, Yuda Onsen |
Optimization of Beam Patterns for Analog Beamforming of Single User Massive MIMO Transmissions Maki Arai, Kei Sakaguchi, Kiyomichi Araki (Tokyo Inst. of Tech.) RCS2018-5 |
This paper proposes optimal beam patterns of analog beamforming for SU (Single User) massive MIMO (Multi-Input Multi-Out... [more] |
RCS2018-5 pp.25-30 |
PRMU, MVE, CQ, IPSJ-CVIM [detail] |
2012-01-19 10:40 |
Osaka |
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Three-dimensional object recognition based on spherical projection of obtained shapesand textures Hiroko Yabushita, Jun Shimamura, Masashi Morimoto (NTT) PRMU2011-153 MVE2011-62 |
We propose a technique for recognizing three-dimensional (3D) objects which is based on spherical projection of obtained... [more] |
PRMU2011-153 MVE2011-62 pp.73-78 |
MBE |
2008-09-25 14:20 |
Nagano |
Faculty of Engineering, Shinshu University |
3D Cortical Dipole Layer Imaging of Brain Electrical Activity Considering Sagittal Plane Takeshi Koide, Junichi Hori (Niigata Univ.) MBE2008-43 |
Spherical and sagittal dipole layer distributions were estimated from scalp electroencephalogram for three dimensional d... [more] |
MBE2008-43 pp.91-96 |
PRMU, NLC |
2005-09-22 13:40 |
Tokyo |
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Towards recovering the 3-D shape from perspective images and/or spherical camera images Jun Fujiki (AIST) |
Recovering the camera motion and the object shape from the sequence of
images is the fundamental and important problem ... [more] |
NLC2005-42 PRMU2005-69 pp.35-40 |
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